{ "id": "2UQv1DUZyq0doFXO", "meta": { "templateCredsSetupCompleted": true }, "name": "Smart AI Support Assistant for Telegram", "tags": [ { "id": "vBkoevN5y6qmKOjn", "name": "creator", "createdAt": "2025-11-28T06:46:33.413Z", "updatedAt": "2025-11-28T06:46:33.413Z" } ], "nodes": [ { "id": "26316b57-cf86-4a89-bd9b-f4c471ab228d", "name": "Telegram Trigger", "type": "n8n-nodes-base.telegramTrigger", "position": [ -8144, 784 ], "parameters": { "updates": [ "message" ], "additionalFields": {} }, "credentials": { "telegramApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "362d3f7e-6474-4f5b-bea7-ba1d59be3097", "name": "QuestionOrReply_Switch", "type": "n8n-nodes-base.switch", "position": [ -7408, 784 ], "parameters": { "rules": { "values": [ { "outputKey": "Question", "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "46793cfc-f20c-4ea6-b010-e04f086dd408", "operator": { "type": "boolean", "operation": "false", "singleValue": true }, "leftValue": "={{$json[\"reply_flag\"]}}", "rightValue": "" } ] }, "renameOutput": true }, { "outputKey": "ReplyExpert", "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "b7ed7e6d-2e35-4e8c-af83-d5d7553c8179", "operator": { "type": "boolean", "operation": "true", "singleValue": true }, "leftValue": "={{$json[\"reply_flag\"]}}", "rightValue": "" } ] }, "renameOutput": true } ] }, "options": {} }, "typeVersion": 3.3 }, { "id": "e953e4a1-84ea-4ed4-8998-224d4b48cba8", "name": "QuestionFilter_Code", "type": "n8n-nodes-base.code", "position": [ -7264, 432 ], "parameters": { "jsCode": "const keywords = [\n \"\u043a\u0430\u043a\", \"\u0441\u043a\u043e\u043b\u044c\u043a\u043e\", \"\u043a\u043e\u0433\u0434\u0430\", \"\u0432\u043e \u0441\u043a\u043e\u043b\u044c\u043a\u043e\", \"\u043a\u0443\u0434\u0430\", \"\u043f\u043e\u0447\u0435\u043c\u0443\", \"\u043d\u0443\u0436\u043d\u043e\", \"\u043c\u043e\u0436\u043d\u043e\",\n \"\u0447\u0442\u043e \u0434\u0435\u043b\u0430\u0442\u044c\", \"\u0433\u0434\u0435\", \"\u043a\u0442\u043e\", \"\u0437\u0430\u0447\u0435\u043c\", \"\u043e\u0431\u044f\u0437\u0430\u043d\", \"\u043d\u0430\u0434\u043e\", \"\u0441\u0442\u043e\u0438\u0442\", \"\u0434\u043e\u043b\u0436\u0435\u043d\",\n \"\u0431\u044b\u0432\u0430\u044e\u0442\", \"\u0441 \u043a\u0435\u043c\", \"\u0434\u043b\u044f \u0447\u0435\u0433\u043e\", \"\u0435\u0441\u0442\u044c \u043b\u0438\", \"\u0443 \u043a\u043e\u0433\u043e\", \"\u043a\u043e\u043c\u0443\", \"\u043a\u0443\u0434\u0430 \u043e\u0431\u0440\u0430\u0442\u0438\u0442\u044c\u0441\u044f\",\n \"\u0447\u0442\u043e \u044d\u0442\u043e\", \"\u043a\u0430\u043a \u0431\u044b\u0441\u0442\u0440\u043e\"\n];\n\n// \u0422\u0435\u043a\u0441\u0442 \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u044f\nconst text = $json?.message?.text || $json?.text || \"\";\n\n// \u043f\u043e \u043a\u043b\u044e\u0447\u0435\u0432\u044b\u043c \u0441\u043b\u043e\u0432\u0430\u043c\nlet matchedByKeyword = false;\nfor (let word of keywords) {\n if (text.toLowerCase().includes(word)) {\n matchedByKeyword = true;\n break;\n }\n}\n\n// \u043f\u043e \u0437\u043d\u0430\u043a\u0443 \u0432\u043e\u043f\u0440\u043e\u0441\u0430\nconst matchedByQuestionMark = text.includes(\"?\");\n\n// \u0438\u0442\u043e\u0433\u043e\u0432\u044b\u0439 \u0444\u043b\u0430\u0433: \u0432\u043e\u043f\u0440\u043e\u0441, \u0435\u0441\u043b\u0438 \u0435\u0441\u0442\u044c \u043a\u043b\u044e\u0447\u0435\u0432\u043e\u0435 \u0441\u043b\u043e\u0432\u043e \u0418\u041b\u0418 \u0437\u043d\u0430\u043a \u0432\u043e\u043f\u0440\u043e\u0441\u0430\nconst matched = matchedByKeyword || matchedByQuestionMark;\n\n// \u043a\u043e\u043b-\u0432\u043e \u0441\u043b\u043e\u0432\nconst wordsCount = text.trim() ? text.trim().split(/\\s+/).length : 0;\n\nreturn [{\n json: {\n ...$json,\n keywordMatch: matched,\n matchedByKeyword,\n matchedByQuestionMark,\n wordsCount\n }\n}];\n\n\n\n" }, "typeVersion": 2 }, { "id": "3e2b5143-ea89-4bc4-bd97-33c4c7f4fde6", "name": "ValidQuestion_IF", "type": "n8n-nodes-base.if", "position": [ -7072, 432 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "loose" }, "combinator": "and", "conditions": [ { "id": "906edb34-fa14-4570-b0fd-af339cf47d6f", "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json.keywordMatch }}", "rightValue": "true" }, { "id": "b5b247cb-1ac1-4317-8ae6-897e25657885", "operator": { "type": "number", "operation": "gte" }, "leftValue": "={{ $json.wordsCount }}", "rightValue": 2 } ] }, "looseTypeValidation": true }, "typeVersion": 2.2 }, { "id": "f2a2ab5a-650c-49b3-9727-a29a0e470da0", "name": "CreateTicket_Code", "type": "n8n-nodes-base.code", "position": [ -4384, 416 ], "parameters": { "jsCode": "return [{\n json: {\n question_id: $json.question_message_id || ($json.message && $json.message.message_id) || null,\n chat_id: $json.group_id || $json.chat_id || ($json.message && $json.message.chat && $json.message.chat.id) || null,\n user_id: $json.user_id || ($json.message && $json.message.from && $json.message.from.id) || null,\n user_name: $json.username || ($json.message && $json.message.from && $json.message.from.username) || null,\n question_text: $json.question || ($json.message && $json.message.text) || null,\n\n // \u0441\u0442\u0430\u0440\u043e\u0435 \u043f\u043e\u043b\u0435 \u0438\u0437 \u0432\u0445\u043e\u0434\u0430\n group_message_id: $json.group_message_id || null,\n\n // \u041d\u041e\u0412\u041e\u0415: \u043e\u0440\u0438\u0433\u0438\u043d\u0430\u043b\u044c\u043d\u044b\u0439 ID \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u044f \u0438\u0437 Set Original Question\n original_group_message_id: $json.original_group_message_id || ($json.message && $json.message.message_id) || null,\n\n asked_at: new Date().toISOString(),\n status: \"sent_to_expert\"\n }\n}];\n" }, "typeVersion": 2 }, { "id": "fd625287-de5d-49d5-8135-687e4b4aa698", "name": "SendToExpert_Message", "type": "n8n-nodes-base.telegram", "position": [ -3024, 416 ], "parameters": { "text": "=\ud83c\udd98 \u041d\u043e\u0432\u044b\u0439 \u0432\u043e\u043f\u0440\u043e\u0441:\n\n{{ $json.question_text }}\n\n\u041e\u0442: @{{ $json.user_name }}\n\n\u0418\u041d\u0421\u0422\u0420\u0423\u041a\u0426\u0418\u042f: \u041d\u0430\u0436\u043c\u0438 \u0434\u043e\u043b\u0433\u0438\u043c \u043d\u0430\u0436\u0430\u0442\u0438\u0435\u043c \u043d\u0430 \u044d\u0442\u043e \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0435 > \u0412\u044b\u0431\u0435\u0440\u0438 \"Reply\" (\u041e\u0442\u0432\u0435\u0442\u0438\u0442\u044c) > \u041d\u0430\u043f\u0438\u0448\u0438 \u0441\u0432\u043e\u0439 \u043e\u0442\u0432\u0435\u0442 \u0442\u0435\u043a\u0441\u0442\u043e\u043c \u0438 \u043e\u0442\u043f\u0440\u0430\u0432\u044c.\n\nQ:{{ $json.original_group_message_id }}\n", "chatId": "=YOUR_TELEGRAM_CHAT_ID", "additionalFields": { "parse_mode": "HTML", "appendAttribution": false } }, "credentials": { "telegramApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "29c59baa-19fb-4fb4-894e-ec02622189d8", "name": "Reformulate_Message", "type": "n8n-nodes-base.telegram", "position": [ -7072, 592 ], "parameters": { "text": "=\u041d\u0435 \u043f\u043e\u043d\u044f\u043b \u0432\u043e\u043f\u0440\u043e\u0441 \ud83e\udd14 \u041f\u0435\u0440\u0435\u0444\u043e\u0440\u043c\u0443\u043b\u0438\u0440\u0443\u0439 \u0435\u0433\u043e \u2014 \u043f\u043e\u043f\u0440\u043e\u0431\u0443\u0439 \u0447\u0443\u0442\u044c \u043f\u043e\u0434\u0440\u043e\u0431\u043d\u0435\u0435 \u0438\u043b\u0438 \u0434\u043e\u0431\u0430\u0432\u044c \u0434\u0435\u0442\u0430\u043b\u0435\u0439!", "chatId": "={{ $json.group_id }}", "additionalFields": { "appendAttribution": false, "reply_to_message_id": "={{ $json.message.message_id }}" } }, "credentials": { "telegramApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "340bd6cb-9fc5-4009-97ae-4fdb392f0595", "name": "ExpertReply_Message", "type": "n8n-nodes-base.telegram", "position": [ -4704, 864 ], "parameters": { "text": "={{ $json.answer }}", "chatId": "={{ $json.chat_id }}", "additionalFields": { "parse_mode": "HTML", "appendAttribution": false, "reply_to_message_id": "={{ $json.question_id_from_reply }}" } }, "credentials": { "telegramApi": { "name": "" } }, "typeVersion": 1.2, "alwaysOutputData": false }, { "id": "923710fd-e58f-451c-8ceb-3cc705854b51", "name": "IsExpert_Code", "type": "n8n-nodes-base.code", "position": [ -6576, 880 ], "parameters": { "jsCode": "// \u0412\u043f\u0438\u0448\u0438 user_id \u0432\u0441\u0435\u0445 \u044d\u043a\u0441\u043f\u0435\u0440\u0442\u043e\u0432. \u0422\u0432\u043e\u0439 id \u0443\u0437\u043d\u0430\u0451\u0448\u044c \u0438\u0437 \u043b\u044e\u0431\u043e\u0433\u043e \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u044f \u0432 Telegram \u0447\u0435\u0440\u0435\u0437 n8n.\nconst experts = [\n 123456789, // \u2190 \u0437\u0430\u043c\u0435\u043d\u0438 \u043d\u0430 \u0441\u0432\u043e\u0439 id, \u043f\u043e\u043a\u0430 \u0442\u0435\u0441\u0442\u0438\u0440\u0443\u0435\u0448\u044c\n // \u043c\u043e\u0436\u043d\u043e \u0434\u043e\u0431\u0430\u0432\u0438\u0442\u044c \u0434\u0440\u0443\u0433\u0438\u0445 \u044d\u043a\u0441\u043f\u0435\u0440\u0442\u043e\u0432\n];\n\nconst userId = $json[\"message\"][\"from\"][\"id\"];\n\nreturn [{\n json: {\n isExpert: experts.includes(userId),\n ...$json\n }\n}];\n" }, "typeVersion": 2 }, { "id": "74fa4a67-0b4b-4e59-88d3-ff7ecc589982", "name": "IsExpert_IF", "type": "n8n-nodes-base.if", "position": [ -6416, 880 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "strict" }, "combinator": "and", "conditions": [ { "id": "5d10945d-3273-4b7b-b071-810b7b887090", "operator": { "type": "boolean", "operation": "true", "singleValue": true }, "leftValue": "={{$json[\"isExpert\"]}}", "rightValue": "" } ] } }, "typeVersion": 2.2 }, { "id": "b6e2c1a9-9ecb-4a68-9fdd-832c401a35a5", "name": "PrepareReplyFlag_Code", "type": "n8n-nodes-base.code", "position": [ -7632, 784 ], "parameters": { "jsCode": "const replyText = $json.message.reply_to_message?.text || \"\";\n// \u0418\u0449\u0435\u043c Q:XXX... \u0432 \u0442\u0435\u043a\u0441\u0442\u0435 (\u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0430\u043b\u044c\u043d\u043e: \u043b\u044e\u0431\u044b\u0435 \u0441\u0438\u043c\u0432\u043e\u043b\u044b \u043a\u0440\u043e\u043c\u0435 \u043f\u0440\u043e\u0431\u0435\u043b\u0430)\nconst match = replyText.match(/Q:([^\\s]+)/);\nconst questionId = match ? match[1] : null;\n\nreturn [{\n json: {\n reply_flag: Boolean($json.message.reply_to_message),\n question_id_from_reply: questionId,\n ...$json\n }\n}]\n\n\n\n" }, "typeVersion": 2 }, { "id": "d8a7c0c3-ed71-4fe3-bf92-308926113bb1", "name": "Pinecone Vector Store", "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone", "position": [ -4208, 416 ], "parameters": { "mode": "insert", "options": {}, "pineconeIndex": { "__rl": true, "mode": "list", "value": "" } }, "credentials": { "pineconeApi": { "name": "" } }, "typeVersion": 1.3 }, { "id": "d65544fe-5f43-4613-aecd-d91db55b87ab", "name": "Embeddings OpenAI", "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi", "position": [ -4224, 624 ], "parameters": { "options": {} }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "d0521d88-5d1e-45f5-9ba0-2b793adc5efb", "name": "Default Data Loader", "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader", "position": [ -4112, 576 ], "parameters": { "options": { "metadata": { "metadataValues": [ { "name": "question_message_id", "value": "={{ $json.question_id }}" }, { "name": "chat_id", "value": "={{ $('CreateTicket_Code').item.json.chat_id }}" }, { "name": "user_id", "value": "={{ $('CreateTicket_Code').item.json.user_id }}" }, { "name": "user_name", "value": "={{ $('CreateTicket_Code').item.json.user_name }}" }, { "name": "question_text", "value": "={{ $('CreateTicket_Code').item.json.question_text }}" }, { "name": "answer", "value": "={{ $json.answer }}" }, { "name": "group_message_id", "value": "={{ $('CreateTicket_Code').item.json.group_message_id }}" }, { "name": "original_group_message_id", "value": "={{ $('CreateTicket_Code').item.json.original_group_message_id }}" } ] } }, "textSplittingMode": "custom" }, "typeVersion": 1.1 }, { "id": "f98b4e42-db86-4b36-8f26-b8a96759afd8", "name": "Recursive Character Text Splitter", "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter", "position": [ -3904, 704 ], "parameters": { "options": { "splitCode": "markdown" }, "chunkSize": 4000 }, "typeVersion": 1 }, { "id": "f6f174db-08dc-4a82-830d-7f0de70ca216", "name": "Pinecone_ParseResult_Code", "type": "n8n-nodes-base.code", "position": [ -3328, 416 ], "parameters": { "jsCode": "// \u0411\u0435\u0440\u0451\u043c \u043f\u0435\u0440\u0432\u044b\u0439 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442 \u0438\u0437 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u043e\u0432 Pinecone\nconst doc = $json.result ? $json.result[0] : $json; // \u0435\u0441\u043b\u0438 Pinecone \u0432\u043e\u0437\u0432\u0440\u0430\u0449\u0430\u0435\u0442 \u043c\u0430\u0441\u0441\u0438\u0432 result\nreturn [{\n json: {\n question: doc.metadata?.question,\n answer: doc.metadata?.answer,\n group_id: doc.metadata?.group_id,\n question_message_id: doc.metadata?.question_message_id,\n ...doc.metadata, // \u0435\u0441\u043b\u0438 \u043c\u043d\u043e\u0433\u043e \u043f\u043e\u043b\u0435\u0439\n }\n}]\n" }, "typeVersion": 2 }, { "id": "04e03f39-85d6-40db-b291-5028d8e762da", "name": "Set_QA_for_Pinecone", "type": "n8n-nodes-base.set", "position": [ -4320, 864 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "c45d6ea7-97b7-4e77-aaa2-67846ff578ff", "name": "=question", "type": "string", "value": "={{ $('GetFirstResult').item.json.question }}" }, { "id": "f18be8b3-40ab-4ae5-a8f9-24e3fd0e10dd", "name": "answer", "type": "string", "value": "={{ $json.result.text }}" }, { "id": "4e793ea9-f20c-433d-a290-d4c06bac9e5a", "name": "user_id", "type": "string", "value": "={{ $('GetFirstResult').item.json.user_id }}" }, { "id": "2b92b109-6950-4d00-a859-8cfeb706696f", "name": "group_id", "type": "string", "value": "={{ $('GetFirstResult').item.json.chat_id }}" }, { "id": "5601ae32-d3e7-4f43-b133-87ecade4b47d", "name": "question_message_id", "type": "string", "value": "={{ $('GetFirstResult').item.json.question_id_from_reply }}" }, { "id": "514addd7-8096-45eb-87f3-7c10505bf47b", "name": "username", "type": "string", "value": "={{ $('GetFirstResult').item.json.username }}" } ] } }, "typeVersion": 3.4 }, { "id": "986d4e64-fb81-4610-8cba-60fdfa17f18d", "name": "Embeddings OpenAI1", "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi", "position": [ -3392, 1072 ], "parameters": { "options": {} }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "2fb1d308-26ae-4c4e-b8cd-1341d0dbb1d5", "name": "EditFields_AddUserID_Metadata", "type": "n8n-nodes-base.set", "position": [ -4672, 416 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "5f91485b-215e-489e-9098-c5a7c3f8790a", "name": "group_id", "type": "string", "value": "={{ $json.chat_id }}" }, { "id": "f6f78d61-d984-4176-a5f1-3048184c798d", "name": "user_id", "type": "string", "value": "={{ $json.user_id }}" }, { "id": "84a17448-8a0f-465e-910d-4f37c7b79358", "name": "question_message_id", "type": "string", "value": "={{ $json.chat_id + \"_\" + $json.user_id + \"_\" + Date.now() }}" }, { "id": "898151b3-c938-496b-b3b5-6a2f8c503a29", "name": "username", "type": "string", "value": "={{ $json.user_name }}" }, { "id": "8bad6a33-a126-4c38-8095-dd52ac3f3df0", "name": "question", "type": "string", "value": "={{ $json.original_question }}" }, { "id": "84f1a65c-f25d-40b7-ad8f-bb0e5151cbdf", "name": "group_message_id", "type": "string", "value": "={{ $json.group_message_id }}" }, { "id": "955c3f1b-ebcd-4e71-a298-8cc4f951ae5e", "name": "original_group_message_id", "type": "string", "value": "={{ $json.original_message_id }}" } ] } }, "typeVersion": 3.4 }, { "id": "f43d5d49-9e09-46f3-9f25-505ff1af66f9", "name": "AddUserID_Metadata_Reply", "type": "n8n-nodes-base.set", "position": [ -6176, 864 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "d26380ec-cf49-4179-8eb8-54fd85c1fa61", "name": "user_id", "type": "string", "value": "={{$json[\"message\"][\"from\"][\"id\"]}}" }, { "id": "ae6cefe6-97fb-4454-a43e-c189afc54a6e", "name": "reply_message_id", "type": "string", "value": "={{$json[\"message\"][\"reply_to_message\"][\"message_id\"]}}" }, { "id": "d3da310a-6353-4d30-9ac9-3e6498ea1a00", "name": "chat_id", "type": "string", "value": "={{$json[\"message\"][\"chat\"][\"id\"]}}" }, { "id": "c2a7d8b0-57dc-45da-8f6a-3441933ad010", "name": "question_message_id", "type": "string", "value": "={{$json.message.reply_to_message.message_id}}" }, { "id": "3fd327b7-7078-4749-abcf-2c5b6146ca2d", "name": "username", "type": "string", "value": "={{ $json.message.chat.username }}" }, { "id": "bedeebd1-4c37-4117-9010-fa27be567be9", "name": "", "type": "string", "value": "" } ] }, "includeOtherFields": true }, "typeVersion": 3.4 }, { "id": "b3fb1fef-3682-48c9-bcda-350cb432fa7e", "name": "Pinecone_Add_Answer", "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone", "position": [ -3376, 864 ], "parameters": { "mode": "insert", "options": {}, "pineconeIndex": { "__rl": true, "mode": "list", "value": "" } }, "credentials": { "pineconeApi": { "name": "" } }, "typeVersion": 1.3 }, { "id": "f4d05ecf-34af-47e1-8f69-b4c70a37dfd3", "name": "GetFirstResult", "type": "n8n-nodes-base.code", "position": [ -5136, 864 ], "parameters": { "jsCode": "return [items[0]]; // \u0411\u0435\u0440\u0451\u043c \u0442\u043e\u043b\u044c\u043a\u043e \u043f\u0435\u0440\u0432\u044b\u0439 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442" }, "typeVersion": 2 }, { "id": "1339177a-4aa6-41c7-a864-ea03e0a2a97a", "name": "Check If Answer Exists", "type": "n8n-nodes-base.if", "position": [ -5712, 400 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "loose" }, "combinator": "and", "conditions": [ { "id": "010dd600-ed01-473b-92f9-bbdad4469131", "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json.has_answer }}", "rightValue": "true" }, { "id": "97911638-14a6-42fb-bb6f-bcedd69e517a", "operator": { "type": "number", "operation": "gte" }, "leftValue": "={{ $json.score }}", "rightValue": 0.85 } ] }, "looseTypeValidation": true }, "typeVersion": 2.2 }, { "id": "206d2dc3-1634-4fb7-9d25-f070129a8791", "name": "Send Auto Answer", "type": "n8n-nodes-base.telegram", "position": [ -5344, 112 ], "parameters": { "text": "={{ $json.answer }}", "chatId": "={{ $json.chat_id }}", "additionalFields": { "appendAttribution": false, "reply_to_message_id": "={{ $json.reply_to_message_id }}\n" } }, "credentials": { "telegramApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "6db06bff-5cf0-4cb7-ab36-986a40616974", "name": "Get First Answered Document", "type": "n8n-nodes-base.code", "position": [ -5872, 400 ], "parameters": { "jsCode": "const originalQuestion =\n items[0].json.original_question ||\n items[0].json.question ||\n \"\u041d\u0435\u0438\u0437\u0432\u0435\u0441\u0442\u043d\u043e\";\n\nconst chatId =\n items[0].json.chat_id ||\n items[0].json.document?.metadata?.chat_id ||\n items[0].json.document?.metadata?.group_id ||\n items[0].json.group_id ||\n \"\";\n\nconst replyToMessageId =\n items[0].json.reply_to_message_id ||\n items[0].json.message_id ||\n items[0].json.document?.metadata?.question_message_id ||\n \"\";\n\nconst userId = items[0].json.userid || items[0].json.user_id || \"\";\n\n// \u0411\u0435\u0440\u0451\u043c group_message_id \u0438\u0437 \u0432\u0445\u043e\u0434\u043d\u043e\u0433\u043e \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430, \u0435\u0441\u043b\u0438 \u0435\u0441\u0442\u044c\nconst groupMessageId =\n items[0].json.document?.metadata?.group_message_id || \"\";\n\n// \u041c\u0438\u043d\u0438\u043c\u0430\u043b\u044c\u043d\u044b\u0439 \u043f\u043e\u0440\u043e\u0433\nconst MIN_SCORE_THRESHOLD = 0.90;\n\n// \u0418\u0449\u0435\u043c item \u0441 \u043e\u0442\u0432\u0435\u0442\u043e\u043c\nconst found = items.find(item => {\n const j = item.json || {};\n const meta = j.document?.metadata || {};\n\n const answer = meta.answer || j.answer || \"\";\n const score = j.score || 0;\n const keywordMatch = j.keywordMatch;\n\n const hasAnswer = !!answer && answer.trim() !== \"\";\n const keywordOk = (typeof keywordMatch === \"boolean\") ? keywordMatch : true;\n\n return hasAnswer && keywordOk && score >= MIN_SCORE_THRESHOLD;\n});\n\nif (found) {\n const j = found.json || {};\n const meta = j.document?.metadata || {};\n\n const foundAnswer =\n meta.answer ||\n j.answer ||\n \"\";\n\n return [{\n json: {\n ...j,\n chat_id: chatId,\n answer: foundAnswer,\n text: foundAnswer,\n reply_to_message_id: replyToMessageId,\n group_message_id: groupMessageId,\n original_message_id: items[0].json.original_message_id || \"\",\n has_answer: true,\n score: typeof j.score !== \"undefined\" ? j.score : 0,\n user_name:\n meta.username ||\n meta.user_name ||\n j.username ||\n j.user_name ||\n \"\",\n user_id: userId\n }\n }];\n} else {\n const backup = items[0].json;\n\n return [{\n json: {\n chat_id: chatId,\n text: \"\",\n reply_to_message_id: replyToMessageId,\n group_message_id: groupMessageId,\n question: originalQuestion,\n original_question: originalQuestion,\n original_message_id: items[0].json.original_message_id || \"\",\n has_answer: false,\n answer: \"\",\n score: typeof backup.score !== \"undefined\" ? backup.score : 0,\n user_name:\n backup.document?.metadata?.username ||\n backup.document?.metadata?.user_name ||\n backup.username ||\n backup.user_name ||\n \"\",\n user_id: userId,\n send_to_expert: true\n }\n }];\n}\n\n\n\n" }, "typeVersion": 2 }, { "id": "f15dc9ab-1089-4f17-bfba-54c787dbf63f", "name": "Set Original Question", "type": "n8n-nodes-base.set", "position": [ -6880, 400 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "ea95983b-c336-433c-88d6-ada87c5b5409", "name": "original_text", "type": "string", "value": "={{$json.message.text}}" }, { "id": "7f887d85-4220-4338-ac9a-a72720f57203", "name": "original_message_id", "type": "string", "value": "={{ $json.message.message_id }}" } ] }, "includeOtherFields": true }, "typeVersion": 3.4 }, { "id": "295b3c87-bf6e-4b62-afc7-8acee682471c", "name": "Restore Original Question", "type": "n8n-nodes-base.set", "position": [ -6096, 400 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "9ab3de56-7e5b-4fdc-ba2b-360dd262a919", "name": "original_question", "type": "string", "value": "={{ $('Set Original Question').item.json.message.text }}" }, { "id": "25bf5a2f-0722-4e19-9fe5-0a98020af9c6", "name": "userid", "type": "string", "value": "={{ $('Set Original Question').item.json.message.from.id }}" }, { "id": "3c14c68c-a385-4dfb-835a-26339da8edc8", "name": "username", "type": "string", "value": "={{ $('Set Original Question').item.json.message.from.username }}" }, { "id": "5cef58a8-1121-4547-991f-8db9f48f1781", "name": "original_message_id", "type": "string", "value": "={{ $('Set Original Question').item.json.message.message_id }}" } ] }, "includeOtherFields": true }, "typeVersion": 3.4 }, { "id": "c262cf80-5ac9-49a8-89c7-b3a218768053", "name": "Filter Similar Answers", "type": "n8n-nodes-base.code", "position": [ -6352, 400 ], "parameters": { "jsCode": "// \u0415\u0441\u043b\u0438 Pinecone \u0432\u0435\u0440\u043d\u0443\u043b \u043f\u0443\u0441\u0442\u043e \u2014 \u0432\u044b\u0445\u043e\u0434\u0438\u043c \u0441 \u043f\u0443\u0441\u0442\u044b\u043c \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u043e\u043c\nif (!items || items.length === 0) {\n return [{ json: { empty: true, items: [] } }];\n}\n\nconst threshold = 0.85;\n\nitems.forEach(item => {\n // \u0412\u043e\u043f\u0440\u043e\u0441, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0437\u0430\u0434\u0430\u043b \u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u0435\u043b\u044c\n const inputQuestion =\n item.json.original_question ||\n item.json.message?.text ||\n item.json.document?.metadata?.question_text ||\n \"\";\n\n const score = item.json.score || 0;\n\n // \u0415\u0441\u0442\u044c \u043b\u0438 \u043e\u0442\u0432\u0435\u0442 \u0432 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0435\n const hasAnswer =\n !!item.json.document?.metadata?.answer &&\n item.json.document.metadata.answer.trim() !== \"\";\n\n // \u0412\u043e\u043f\u0440\u043e\u0441 \u0438\u0437 \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442\u0430\n const question =\n item.json.document?.metadata?.question_text ||\n item.json.document?.pageContent ||\n \"\";\n\n // \u041a\u043b\u044e\u0447\u0435\u0432\u0430\u044f \u0444\u0440\u0430\u0437\u0430 \u0438\u0437 \u0432\u0445\u043e\u0434\u043d\u043e\u0433\u043e \u0432\u043e\u043f\u0440\u043e\u0441\u0430\n const keyPhrase = inputQuestion.toLowerCase().slice(0, 5);\n\n // \u041d\u0430\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0434\u043e\u043a\u0443\u043c\u0435\u043d\u0442 \u0440\u0435\u043b\u0435\u0432\u0430\u043d\u0442\u0435\u043d\n const isRelevant = question.toLowerCase().includes(keyPhrase);\n\n // \u0414\u043e\u0431\u0430\u0432\u043b\u044f\u0435\u043c \u043e\u0442\u043b\u0430\u0434\u043e\u0447\u043d\u0443\u044e \u0438\u043d\u0444\u0443\n item.json.debug = { question, score, hasAnswer, isRelevant, inputQuestion };\n\n // \u0412\u0410\u0416\u041d\u041e: \u043d\u0435 \u0437\u0430\u0442\u0438\u0440\u0430\u0435\u043c metadata, \u0430 \u0442\u043e\u043b\u044c\u043a\u043e \u0434\u043e\u0431\u0430\u0432\u043b\u044f\u0435\u043c \u0441\u0432\u043e\u0438 \u0444\u043b\u0430\u0433\u0438\n if (item.json.document && item.json.document.metadata) {\n item.json.document.metadata = {\n ...item.json.document.metadata,\n hasAnswer,\n isRelevant\n };\n }\n});\n\nreturn items;\n" }, "typeVersion": 2, "alwaysOutputData": true }, { "id": "f18d9141-3b8d-4cd9-b8fd-7637a1b66d01", "name": "CheckCacheHit", "type": "n8n-nodes-base.code", "position": [ -3840, 384 ], "parameters": { "jsCode": "const inputData = $input.all()[0].json;\nconst pineconeResult = inputData.result || [];\nconst currentQuestion = inputData.question;\n\nlet cacheHit = false;\nlet cachedAnswer = null;\nlet score = 0; // \u043e\u0431\u044a\u044f\u0432\u043b\u044f\u0435\u043c \u0437\u0434\u0435\u0441\u044c\n\nif (pineconeResult.length > 0) {\n const bestMatch = pineconeResult[0];\n score = bestMatch.score || bestMatch.metadata?.score || 0;\n if (score > 0.1) {\n cacheHit = true;\n cachedAnswer = '\u041e\u0442\u0432\u0435\u0442 \u0438\u0437 \u043a\u044d\u0448\u0430: ' + (bestMatch.metadata?.pageContent || bestMatch.pageContent || bestMatch.answer || '\u041d\u0435\u0442 \u0442\u0435\u043a\u0441\u0442\u0430');\n }\n}\n\nreturn [{ json: { ...inputData, cacheHit, cachedAnswer, debugScore: score } }];\n\n" }, "typeVersion": 2 }, { "id": "9df1bcbf-2c75-49f2-94d6-ed7a9e6e5898", "name": "CacheHitIF", "type": "n8n-nodes-base.if", "position": [ -3632, 400 ], "parameters": { "options": {}, "conditions": { "options": { "version": 2, "leftValue": "", "caseSensitive": true, "typeValidation": "loose" }, "combinator": "and", "conditions": [ { "id": "a44e8f76-2219-4dec-a04c-33fa451f14ff", "operator": { "type": "string", "operation": "equals" }, "leftValue": "={{ $json.cacheHit }}", "rightValue": "true" } ] }, "looseTypeValidation": true }, "typeVersion": 2.2 }, { "id": "6185eafd-dec9-4638-b406-0d18676f04f9", "name": "SendCachedAnswer", "type": "n8n-nodes-base.telegram", "position": [ -3344, 224 ], "parameters": { "text": "={{ $json.cachedAnswer }}", "chatId": "={{ $json.group_id }}", "additionalFields": { "appendAttribution": false, "reply_to_message_id": "={{ $json.question_text }}" } }, "credentials": { "telegramApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "0c5f17ff-2256-45c2-b2a7-f03ec739386f", "name": "Extract_Original_Question", "type": "n8n-nodes-base.code", "position": [ -5648, 864 ], "parameters": { "jsCode": "const questionText = $json.message?.reply_to_message?.text || \"\";\n\n// \u0420\u0430\u0437\u0431\u0438\u0432\u0430\u0435\u043c \u0441\u043e\u043e\u0431\u0449\u0435\u043d\u0438\u0435 \u043d\u0430 \u0441\u0442\u0440\u043e\u043a\u0438\nconst lines = questionText.split('\\n\\n');\nlet originalQuestion = \"\u0432\u043e\u043f\u0440\u043e\u0441 \u043d\u0435 \u043d\u0430\u0439\u0434\u0435\u043d\";\nlet questionIdFromReply = null;\n\n// \u0411\u0435\u0440\u0451\u043c \u0442\u0435\u043a\u0441\u0442 \u0432\u043e\u043f\u0440\u043e\u0441\u0430 (\u0432\u0442\u043e\u0440\u0430\u044f \u0441\u0435\u043a\u0446\u0438\u044f)\nif (lines.length >= 2) {\n originalQuestion = lines[1];\n}\n\n// \u041f\u0430\u0440\u0441\u0438\u043c ID (Q:XXXX...) \u043b\u044e\u0431\u043e\u0439 \u0434\u043b\u0438\u043d\u044b\nconst match = questionText.match(/Q:([^\\s]+)/);\nif (match) {\n questionIdFromReply = match[1];\n}\n\n// \u041e\u0442\u0432\u0435\u0442 \u044d\u043a\u0441\u043f\u0435\u0440\u0442\u0430\nconst expertAnswer = $json.message?.text || \"\";\n\n// Username (\u0435\u0441\u043b\u0438 \u0435\u0441\u0442\u044c)\nconst username = $json.message?.from?.username || \"\";\n\nreturn [{\n json: {\n question: originalQuestion,\n answer: expertAnswer,\n reply_message_id: $json.reply_message_id,\n chat_id: \"\",\n user_id: $json.user_id,\n username: username,\n question_id_from_reply: questionIdFromReply\n }\n}];\n\n" }, "typeVersion": 2 }, { "id": "b7bbb9f8-c2ca-4059-a327-05c2b6786708", "name": "Default Data Loader1", "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader", "position": [ -3232, 1072 ], "parameters": { "options": { "metadata": { "metadataValues": [ { "name": "question", "value": "={{ $json.question }}" }, { "name": "answer", "value": "={{ $json.answer }}" }, { "name": "user_id", "value": "={{ $json.user_id }}" }, { "name": "group_id", "value": "={{ $json.group_id }}" }, { "name": "question_message_id", "value": "={{ $json.question_message_id }}" }, { "name": "username", "value": "={{ $json.username }}" } ] } }, "jsonData": "={{ $json.question }}", "jsonMode": "expressionData", "textSplittingMode": "custom" }, "typeVersion": 1.1 }, { "id": "b0609ced-eaa2-481d-b53a-7400f75ed531", "name": "WrapForPinecone", "type": "n8n-nodes-base.code", "position": [ -4032, 864 ], "parameters": { "jsCode": "return {\n json: {\n question: $json.question,\n answer: $json.answer,\n user_id: $json.user_id,\n group_id: $json.group_id,\n question_message_id: $json.question_message_id,\n username: $json.username,\n pageContent: $json.question\n }\n};\n" }, "typeVersion": 2 }, { "id": "03413057-7865-4976-bdb0-e9f17a0cf11c", "name": "Recursive Character Text Splitter1", "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter", "position": [ -3136, 1280 ], "parameters": { "options": {}, "chunkSize": 10000 }, "typeVersion": 1 }, { "id": "e836f4cd-ede9-4e2a-971a-810a51ba9179", "name": "Extract Group ID", "type": "n8n-nodes-base.code", "position": [ -7888, 784 ], "parameters": { "jsCode": "return [{\n json: {\n ...items[0].json,\n group_id: items[0].json.message?.chat?.id || \"\"\n }\n}];\n" }, "typeVersion": 2 }, { "id": "a9460553-3e37-4322-88d6-00d5c06de34b", "name": "Edit Fields", "type": "n8n-nodes-base.set", "position": [ -5504, 304 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "9375c550-588b-4598-a849-b87ad976a265", "name": "answer", "type": "string", "value": "={{ $json.answer }}" }, { "id": "2a535afe-4aca-4ebd-9952-c66fd9f1c892", "name": "chat_id", "type": "string", "value": "={{ $json.chat_id }}" }, { "id": "0fcb4642-ec5d-444e-9ff1-4aa23f8f15d8", "name": "reply_to_message_id", "type": "string", "value": "={{ $json.original_message_id }}" } ] } }, "typeVersion": 3.4 }, { "id": "e9027078-a26b-43d2-803c-1af0fe4e599d", "name": "Embeddings OpenAI3", "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi", "position": [ -6576, 608 ], "parameters": { "options": { "dimensions": 1536 } }, "credentials": { "openAiApi": { "name": "" } }, "typeVersion": 1.2 }, { "id": "85ca7657-5577-4966-812f-cba6b19c4d46", "name": "Search Answer In Pinecone", "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone", "position": [ -6688, 400 ], "parameters": { "mode": "load", "topK": 3, "prompt": "={{ $json.original_text }}", "options": {}, "pineconeIndex": { "__rl": true, "mode": "list", "value": "" } }, "credentials": { "pineconeApi": { "name": "" } }, "typeVersion": 1.3 }, { "id": "bd6b0e80-53fd-4c33-bf6a-c0f9b779d1d8", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -9120, 192 ], "parameters": { "width": 816, "height": 544, "content": "## How it works\n\n1. **Question detection** checks each new message in the Telegram group chat and decides whether it\u2019s actually a question. \n2. **Knowledge base search** looks for an existing answer in the Pinecone vector store using the user\u2019s question. \n3. **Auto\u2011reply from cache** sends the saved answer straight back to the group if a good match is found, without involving an expert. \n4. **Escalation to expert** creates a ticket and forwards the question to a separate Telegram bot that only the expert or curator sees when no answer exists yet. \n5. **Expert learning loop** lets the expert reply manually once; the bot stores this answer in Pinecone so future similar questions are answered automatically.\n\n## Setup steps\n\n- Connect **Telegram Trigger** to a single Telegram bot that is added as an admin to the group/supergroup and receives all user messages. \n- Use **the same bot** for the expert: the expert\u2019s private chat with this bot is where tickets and questions are delivered (no separate expert bot needed). \n- Set up **Pinecone**: create an index, note the environment and index name, and add your Pinecone API key to n8n credentials. \n- Add your **AI model API key** (for example, OpenAI) and select the model used for embeddings and answer rewriting. \n- Configure any environment variables or n8n credentials for project IDs and spaces/namespaces used in Pinecone. \n- Test the full flow: send a question in the group, confirm that a ticket reaches the expert in a private chat, reply once, and check that the next similar question is answered automatically from the cache.\n\n" }, "typeVersion": 1 }, { "id": "1cde61b9-b6c0-4b22-a547-cf6e7f136020", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -8192, 368 ], "parameters": { "color": 7, "width": 1296, "height": 640, "content": "## Incoming messages & routing\nDetects whether a new Telegram message is a user question from the group \nor a reply from the expert, and only valid questions continue through the flow." }, "typeVersion": 1 }, { "id": "9d60ae99-e735-435e-80b9-6f1a00fd16d4", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ -6880, 80 ], "parameters": { "color": 7, "width": 1776, "height": 736, "content": "## Search and auto\u2011answer from knowledge base\nFor valid group questions, searches the Pinecone knowledge base for a similar question and, when a good match is found, sends an automatic answer back to the group chat." }, "typeVersion": 1 }, { "id": "9ac0ea3b-5e23-452d-af62-48e47042a5e5", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ -4720, 96 ], "parameters": { "color": 7, "width": 1888, "height": 736, "content": "## No answer found \u2192 send to expert\nWhen no suitable answer exists in Pinecone, creates a ticket and forwards the question to the expert in a private chat with the same bot so the expert can reply manually" }, "typeVersion": 1 }, { "id": "7e4de7cc-6f7a-47e5-8f5b-ab2440aacf40", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ -6816, 832 ], "parameters": { "color": 7, "width": 3856, "height": 736, "content": "\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n## Expert reply \u2192 learn & update\nCaptures the expert\u2019s reply, links it to the original question, updates the Pinecone index with the new Q&A pair, and sends the expert\u2019s answer back to the group so future similar questions can be answered automatically." }, "typeVersion": 1 } ], "active": false, "settings": { "executionOrder": "v1" }, "versionId": "3093e193-ae45-4ce0-b7ae-0f99a4eca2e0", "connections": { "CacheHitIF": { "main": [ [ { "node": "SendCachedAnswer", "type": "main", "index": 0 } ], [ { "node": 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